Super Data Science: ML & AI Podcast with Jon Krohn

571: Collaborative, No-Code Machine Learning


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Einblick co-founder and associate professor at MIT, Tim Kraska, joins Jon Krohn to discuss no-code collaboration tools for data science and uncovers the clever database and machine learning tricks under the hood of the visual data computing platform.


In this episode you will learn:

  • The inspiration behind Einblick [2:45]
  • Einblick's progressive approximation engine [6:43]
  • How no-code tools impact productivity [17:18]
  • The critical steps to become more data-driven as an organization [24:30]
  • How research universities like MIT support high-risk, long-term research [38:37]
  • How ML applied to databases enables them to be faster and more efficient [42:03]
  • How real-time collaboration environments like Google Docs are likely to become more widespread for data science tasks [ 49:24]

  • Additional materials: www.superdatascience.com/571

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    Super Data Science: ML & AI Podcast with Jon KrohnBy Jon Krohn

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